Facebook Page Insights Connector
收藏Snowflake2025-07-10 更新2025-07-11 收录
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资源简介:
Facebook Page Insights Connector — Snowflake Native App by Windsor.ai
**Stream every organic impression, reaction and share from your Facebook Pages straight into Snowflake — fully typed, continuously updated, zero pipelines.** The connector covers *page-, post- and media-level* analytics, giving analysts one governed source of truth for community growth, engagement and content ROI.
What the app delivers
- **197 metrics & 113 dimensions** out of the Facebook Graph “Page Insights” API — including reach, impressions, engaged users, reactions, comments, shares, fan adds/losses, audience geo & age splits.
- **Fully-typed Snowflake tables** (no VARIANT) ready for SQL, Looker, Tableau or Power BI.
- **Runs 100 % inside your Snowflake account**: inherits RBAC, masking policies and audit trails.
- **Auto-handles** OAuth, historical back-fill, incremental syncs, schema evolution and retries.
How it works (≤ 5 minutes)
1. **Install** “Facebook Page Insights by Windsor.ai” from Snowflake Marketplace.
2. **OAuth** to the Facebook Pages you manage.
3. **Choose objects & look-back window** (full history supported).
4. **Set refresh cadence** — up to hourly for near-real-time dashboards.
5. Data lands in your chosen DB/schema; Windsor.ai maintains sync jobs end-to-end. [windsor.ai](https://windsor.ai/connect/facebook-page-insights-snowflake-integration/?utm_source=chatgpt.com)
Sample tables & key fields (illustrative)
**FB_PAGE_METRICS_DAILY** — date, page_id, page_name, page_impressions, page_impressions_unique, page_engaged_users, page_fan_adds, page_fan_removes, page_video_views, page_total_actions
**FB_POST_METRICS_DAILY** — date, post_id, page_id, impressions, reach, reactions, comments, shares, link_clicks, video_views, saves, engagement_rate
**FB_POSTS_DIM** — post_id, page_id, created_time, message, permalink_url, status_type, media_type, is_published, _windsor_src
**FB_FAN_GEO_DAILY** — date, page_id, country_iso, fans, fans_change
**FB_VIDEO_METRICS_DAILY** — date, post_id, views_3s, views_30s, avg_watch_time, retention_95pct
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Top use-cases
- **Organic performance dashboards** — track reach, engagement and follower growth by content type.
- **Content & posting-time optimisation** — analyse which formats, topics and time slots drive highest engagement or click-through.
- **Cross-channel reporting** — blend Page Insights with Meta Ads, Instagram, GA4 or Shopify data (325 + sources supported) for holistic ROI analysis.
- **Agency / multi-brand roll-ups** — consolidate dozens of Pages into one schema for portfolio benchmarking.
- **Data-science ready** — feed sentiment models or predictive LTV analyses without writing extraction code.
提供机构:
Windsor.ai
创建时间:
2025-07-02
原始信息汇总
Facebook Page Insights Connector 数据集概述
数据集提供商
- Windsor.ai
数据集特点
- 免费:提供无限访问权限
- 数据内容:涵盖Facebook页面、帖子和媒体级别的分析数据
- 数据规模:包含197个指标和113个维度
- 数据类型:完全类型化的Snowflake表(非VARIANT类型)
- 运行环境:100%在用户Snowflake账户内运行,继承RBAC、掩码策略和审计跟踪
数据集内容
主要表结构及关键字段
- FB_PAGE_METRICS_DAILY
包含字段:date, page_id, page_name, page_impressions, page_impressions_unique, page_engaged_users, page_fan_adds, page_fan_removes, page_video_views, page_total_actions - FB_POST_METRICS_DAILY
包含字段:date, post_id, page_id, impressions, reach, reactions, comments, shares, link_clicks, video_views, saves, engagement_rate - FB_POSTS_DIM
包含字段:post_id, page_id, created_time, message, permalink_url, status_type, media_type, is_published, _windsor_src - FB_FAN_GEO_DAILY
包含字段:date, page_id, country_iso, fans, fans_change - FB_VIDEO_METRICS_DAILY
包含字段:date, post_id, views_3s, views_30s, avg_watch_time, retention_95pct
主要应用场景
- 有机性能仪表板:跟踪内容类型的覆盖范围、参与度和粉丝增长
- 内容和发布时间优化:分析哪些格式、主题和时间段驱动最高的参与度或点击率
- 跨渠道报告:将Page Insights与Meta Ads、Instagram、GA4或Shopify数据混合
- 机构/多品牌汇总:将数十个页面合并到一个模式中进行组合基准测试
- 数据科学准备:为情感模型或预测性LTV分析提供数据
安全特性
- 安全审查:已完成Snowflake安全审查
- 访问控制:受Snowflake基于角色的访问控制保护
提供商其他产品
- Multitouch Attribution Data in Snowflake
- HubSpot Connector
- Instagram Connector
- Google Ads Connector
- Facebook Ads Connector
- Bing Ads/Microsoft Ads Connector
技术支持与联系
- 销售支持:hello@windsor.ai
- 技术支持:https://support.windsor.ai
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集通过Facebook Page Insights Connector将Facebook页面的有机表现数据(包括展示、互动和分享)直接流式传输到Snowflake平台,提供页面、帖子和媒体级别的分析。它包含197个指标和113个维度,支持自动同步和历史回填,适用于社区增长跟踪、内容优化及跨渠道ROI分析等场景。
以上内容由遇见数据集搜集并总结生成



